Bibliographic record
Abstract
This paper examines rhythm and repetition as possibilities for curricular wide-awakeness. When a rhythm is established, an expectation is established with it: patterned beats create momentum, so that subsequent beats arrive to a place that has been prepared by anticipation. But what happens when the rhythm stops? Grounded in the repetition of footsteps that constitute walking, this paper explores how rhythm offers pedagogical possibilities for curricular reconstruction, looking to the way that expectations for the future are informed by habits of listening to the present. It begins by framing the experience of monotony that can cloud sensitivity to daily life. Suggesting that “biographic situations” can be understood as beats in a historical phrase, the paper discusses poly-rhythms as invitations to observe, reflect and participate in the making of (rhythmic) history. Drawing on Deleuze, Pinar and Butler, it emphasizes the productive precarity of rhythm that is imminently falling away into the past, clearing spaces for new possibilities for imagining how circumstances and reactions could be otherwise. It concludes with a call to recognize the complexity of breaking with pre-established patterns of expectation, using sonic experience as practice for the cultivation of historical agency and ontological self-awareness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".